In the part-based detection, a classifier for specific parts of an object (such as head and shoulders for people detection) is trained from a set of training images. This approach is a little more robust in crowded scenes than the previous one since we want to identify smaller but more distinct parts of an object. Examples in literature are [1]}, [2]}, [3]}. fig:countingpartbaseddet shows an example of part-based detection.
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